| 书目名称 | Data Analytics and Decision Support for Cybersecurity | | 副标题 | Trends, Methodologie | | 编辑 | Iván Palomares Carrascosa,Harsha Kumara Kalutarage | | 视频video | | | 概述 | Brings together and disseminates important lessons learned within a young, but surprisingly rapid field.Emphasizes the significant role of Data Science and Artificial Intelligence in overcoming crucia | | 丛书名称 | Data Analytics | | 图书封面 |  | | 描述 | .The book illustrates the inter-relationship between several data management, analytics and decision support techniques and methods commonly adopted in Cybersecurity-oriented frameworks. The recent advent of Big Data paradigms and the use of data science methods, has resulted in a higher demand for effective data-driven models that support decision-making at a strategic level. This motivates the need for defining novel data analytics and decision support approaches in a myriad of real-life scenarios and problems, with Cybersecurity-related domains being no exception. .. This contributed volume comprises nine chapters, written by leading international researchers, covering a compilation of recent advances in Cybersecurity-related applications of data analytics and decision support approaches. In addition to theoretical studies and overviews of existing relevant literature, this book comprises a selection of application-oriented research contributions. The investigations undertaken across these chapters focus on diverse and critical Cybersecurity problems, such as Intrusion Detection, Insider Threats, Insider Threats, Collusion Detection, Run-Time Malware Detection, Intrusion Detecti | | 出版日期 | Book 2017 | | 关键词 | Risk assessment approaches to cybersecurity; Network traffic analysis; Network attack monitoring; Insid | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-319-59439-2 | | isbn_softcover | 978-3-319-86624-6 | | isbn_ebook | 978-3-319-59439-2Series ISSN 2520-1859 Series E-ISSN 2520-1867 | | issn_series | 2520-1859 | | copyright | Springer International Publishing AG 2017 |
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发表于 2025-3-21 18:35:16
